回波干扰下车辆室内外精准定位方法仿真

Simulation of Indoor and Outdoor Precise Positioning of Vehicles under Echo Interference

针对运用当前方法对车辆进行室内外定位时存在的定位时间过长、定位成本过高和定位精度低的问题,提出一种基于粒子群优化的车辆室内外精准定位方法。采用经验模态分解法对回波干扰产生的噪声信号进行模态分解,对分解后的噪声信号采用连续均方误差准则重构,构建车辆室内外信号智能定位模型,应用粒子群算法对定位模型进行求解,确定回波干扰下车辆室内外定位的最优解,完成车辆室内外精准定位。实验结果表明,所提方法缩短了定位时间,提高了定位精度,并降低了定位成本,说明所提方法在车辆室内外定位方面具有有效性,可以有效解决实际问题。

Due to long positioning time, high positioning cost and low positioning accuracy of current method for indoor and outdoor positioning of vehicles, this article put forward a method of precise indoor and outdoor positioning based on particle swarm optimization. Firstly, the empirical mode decomposition method was applied to the modal decomposition of the noise signal generated by echo interference. Secondly, the noise signal after decomposition was reconstructed by continuous mean square error criterion. Thirdly, the intelligent positioning model of indoor signal and outdoor signal of vehicle was constructed, and the particle swarm optimization algorithm is applied to the positioning model. After that, particle swarm optimization was used to solve location model, so as to determine the optimal solution for the indoor and outdoor positioning of vehicle under echo interference. Finally, the accurate indoor and outdoor positioning of vehicle was completed. Simulation results show that the proposed method shortens the positioning time and improves the positioning accuracy. Meanwhile, this method reduces the positioning cost. Thus, the proposed method is effective in the indoor and outdoor positioning of vehicle, which can effectively solve practical problem.